Package: WeightedCluster
Version: 1.8-0
Date: 2024-10-02
Title: Clustering of Weighted Data
Authors@R: person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
Author: Matthias Studer [aut, cre]
Maintainer: Matthias Studer <matthias.studer@unige.ch>
Depends: R (>= 3.0.0), TraMineR (>= 2.0-6), cluster
Imports: utils, RColorBrewer, foreach, progressr, future, doFuture,
        nnet, fastcluster, vegclust
Suggests: RUnit, knitr, isotone, vegan, lattice, progress
VignetteBuilder: knitr
Description: Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting (fuzzy) clusters of state sequences. Parametric bootstraps methods to validate typology of sequences are also provided. Finally, it provides a fuzzy and crisp CLARA algorithm to cluster large database with sequence analysis.
License: GPL (>= 2)
URL: http://mephisto.unige.ch/weightedcluster/
NeedsCompilation: yes
Packaged: 2024-10-02 14:14:52 UTC; studerm
Repository: CRAN
Date/Publication: 2024-10-02 15:30:02 UTC
Built: R 4.4.2; x86_64-apple-darwin20.6.0; 2024-11-25 16:05:38 UTC; unix
